Research on Optimization of Course Selection System Based on Micro service and Dynamic Resource Extension
Pages 115 - 119
Abstract
In view of the fact that the course selection system in Colleges and universities has short burst access, large concurrent business and complex business, and combined with the existing course selection system of South China Institute of Software Engineering of Guangzhou University, an optimization scheme based on micro service and dynamic resource extension is constructed. The scheme can solve the problem of low performance of course selection system by building a micro-service architecture, splitting the business services of course selection system, scaling up the cluster of servers, and expanding the resources dynamically. The performance comparison before and after optimization shows that the performance of the course selection system has been greatly improved, and the scheme is feasible and effective.
References
[1]
HAN Daoqi. Design of Microsoft Service Architecture and Security Architecture {J/OL}. Electronic Technology & Software Engineering, 2019(02): 199--201.
[2]
LIANG Anjian, HU Ning, LUO Jianwu, et al. Research on Microservice Construction and Software Cloud Application Based on Spring Cloud {J}. Electronic Product Reliability and Environmental Testing, 2018, 36(S1): 105--109.
[3]
MIAO Wei-ning, LUO Yu-dong, LUI Xi-feng, et al. A Layered Architecture of Web Service Cluster with Buffer Layer {J}. Modern Computer, 2016(26): 18--22.
[4]
HOU Xingxing, Design and Implementation of Performance Automated Testing Framework Based on JMeter {D}. Xi'an University of Electronic Science and Technology, 2018.
[5]
Micro Services: From Design to Deployment{EB/OL}. {2018-04-22}. https://github.com/DocsHome/microservices.
[6]
HOU Xingxing, Design and Implementation of Performance Automated Testing Framework Based on JMeter {D}. Xi'an University of Electronic Science and Technology, 2018.
[7]
JI Liwei, Design and Implementation of Performance Automated Testing System Based on JMeter Tool {D}. Nanjing University of Posts and Telecommunications, 2017.
Index Terms
- Research on Optimization of Course Selection System Based on Micro service and Dynamic Resource Extension
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Published In
May 2019
353 pages
ISBN:9781450362788
DOI:10.1145/3335484
Copyright © 2019 ACM.
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In-Cooperation
- Shenzhen University: Shenzhen University
- Sun Yat-Sen University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 May 2019
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- Research-article
- Research
- Refereed limited
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ICBDC 2019
ICBDC 2019: 2019 4th International Conference on Big Data and Computing
May 10 - 12, 2019
Guangzhou, China
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